End of training

README.md

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+---
+language:
+- eng
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper Small Eng - Daniel Dumschat
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Whisper Small Eng - Daniel Dumschat
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5746
+- Wer: 24.4747
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.7025        | 0.03  | 100  | 0.6855          | 36.9988 |
+| 0.7478        | 0.07  | 200  | 0.8034          | 35.4196 |
+| 0.7516        | 0.1   | 300  | 0.7854          | 31.8551 |
+| 0.7175        | 0.13  | 400  | 0.7868          | 32.9444 |
+| 0.6748        | 0.17  | 500  | 0.7239          | 31.1203 |
+| 0.6739        | 0.2   | 600  | 0.7045          | 29.7473 |
+| 0.6262        | 0.24  | 700  | 0.6620          | 27.1239 |
+| 0.585         | 0.27  | 800  | 0.6254          | 26.6147 |
+| 0.5305        | 0.3   | 900  | 0.5877          | 24.6552 |
+| 0.5463        | 0.34  | 1000 | 0.5746          | 24.4747 |
+
+
+### Framework versions
+
+- Transformers 4.38.0.dev0
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

generation_config.json

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+}